Intro the Neural Nets, Featuring PyTorch

from pathlib import Path

DATA_DIR = Path("/kaggle/input")
if (DATA_DIR / "ucfai-core-fa18-neural-nets").exists():
    DATA_DIR /= "ucfai-core-fa18-neural-nets"
    # You'll need to download the data from Kaggle and place it in the `data/`
    #   directory beside this notebook.
    # The data should be here:
    DATA_DIR = Path("data")

Other Meetings in this Series

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Neural Networks are all the rage, nowadays, but simpler models are always great places to start! We'll cover how to do Linear/Logistic Regression as well as preparing data for such a function to work.

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Convolutional Neural Networks are at the forefront of Deep Learning and they enable machines to "see" much more effectively than they used to. So well, in fact, that they can tell what's in an image, or even place points onto them.

Contributing Authors

John Muchovej
John Muchovej

Founder of AI@UCF. Researcher in cognitive science and machine learning. Focusing on intuitive physics and intuitive psychology.